Principal Data Engineer - LATAM - English Required
name
Remote Worldwide Β· Full-time Β· Remote
You will apply on Himalayas. Bubird keeps the source attribution visible.
Work mode
Remote
Job type
Full-time
Experience
Director
Salary
Not disclosed
Job Description
Work at DaCodes ! We are a high-impact software and digital transformation firm.
For the past 10 years, we have built technology and innovation-driven solutions thanks to our team of nearly 300 talented #DaCoders, including developers, architects, UX/UI designers, PMs, QA testers, and more.
Our team collaborates on projects with clients across LATAM and the United States, delivering outstanding results.
At DaCodes , you will have the opportunity to accelerate your professional growth, work on diverse projects across multiple industries, and contribute to the design, implementation, and optimization of cloud-based infrastructures.
Our DaCoders have a significant impact on the success of both our business and our clients.
You will be the expert participating in our projects and will gain exposure to disruptive startups and global brands.
Interested? We are seeking a Principal Data Engineer to lead the design, development, and optimization of modern data platforms that enable advanced analytics, machine learning initiatives, and data-driven decision-making.
This role requires a highly experienced engineer capable of architecting scalable data solutions, mentoring engineering teams, and driving best practices across data engineering initiatives.
You will work closely with Data Scientists, Analysts, Product teams, and business stakeholders to transform complex data ecosystems into reliable, scalable, and secure platforms that generate meaningful business insights.
Requirements Key Responsibilities Design, build, and maintain large-scale data platforms and data architectures.
Lead the development of scalable and reliable ETL/ELT pipelines for batch and near real-time processing.
Architect cloud-native data solutions leveraging AWS, Azure, or GCP services.
Drive data modeling strategies using methodologies such as Star Schema, Snowflake Schema, and Data Vault.
Define and enforce data engineering best practices, coding standards, governance policies, and architectural guidelines.
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